Structural Health Monitoring

This book discusses systems of damage detection and structural health monitoring in mechanical, civil, and aerospace structures. It utilizes principles of fuzzy logic, probability theory, and signal processing to develop systems and approaches that are robust in the presence of both noise in the data and variations in properties of materials which are intrinsic to the process of mass production. This volume will be useful to graduate students, researchers, and engineers working in this area, especially those looking to understand and address model uncertainty in their algorithms.

Investigates non-deterministic methods in structural health monitoring Addresses the effect of model uncertainty on structural health monitoring Discusses new methods based on fractals, wavelets and fuzzy logic

Autorentext

Ranjan Ganguli is a Professor in the Department of Aerospace engineering, Indian Institute of Science, Bangalore. Following his PhD in the University of Maryland at College Park, USA, he worked at the Alfred Gessow Rotorcraft Center of the University of Maryland as an Assistant Research Scientist from 1994 to 1997 on projects on rotorcraft health monitoring and vibratory load validation for the Naval Surface Warfare Center and United Technology Research Center, respectively. He also worked at the GE Research Lab in Schenectady, New York, and at Pratt and Whitney, East Hartford, Connecticut, from 1997 to 2000. He has held visiting positions at TU Braunschweig, University of Ulm and Max Planck Institute of Metal Research, Stuttgart, in Germany; University Paul Sabatier and Institute of Mathematics, in Toulouse, France; Konkuk University in South Korea, the University of Michigan, Ann Arbor, in USA, and the Nanyang Technological University, Singapore.

Inhalt
Introduction.- Damage detection using fuzzy logic and probabilistic simulation.- Damage detection using modal curvature and fuzzy logic.- Damage Detection in Composite plates.- Damage detection in smart composite plates.- Damage growth monitoring in composite plates.- Wavelet based damage detection.- Fractal dimension based damage detection.